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累进三维模型相似匹配算法

Progressive Similarity Matching Algorithm for 3D Models

  • 摘要: 提出了一种构造三维模型特征二叉树的算法,并根据特征二叉树匹配来获得三维模型的相似程度.特征二叉树与三维模型坐标系旋转和平移无关,且适合于三维模型累进索引匹配.实验结果表明,文中算法能较好地匹配三维模型的相似性.

     

    Abstract: In the paper we present a progressive similarity matching algorithm based on the feature bintree of the 3D models. The system matches bintrees of two models to get their similarity. This algorithm is invariant to rotation and translation and suitable for coarse-to-fine shape matching strategy. Experiments show that the algorithm performs fairly well in 3D shape matching.

     

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